NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior research engineer to design and build video search technologies for Autonomous Vehicles, Robotics, and Medical applications. The right person for this role brings technical innovation and collaborative culture to change the way NVIDIA builds dataset search platforms for physical AI developers. Our dataset search offerings are ease to use, performant and scalable. Your work will redefine the search capabilities in NVIDIA product offerings and impact the most iconic companies in Physical AI.
What you'll be doing:
Develop and integrate innovative video search approaches, such as VLMs and agentic search at exabyte scale. Enable fundamental advances in autonomous driving scenario search, healthcare, and robotics.
Benchmark and be expert on state of the art video retrieval methods.
Partner with our researchers to develop and evaluate prototypes of our latest models for image search, video search, video understanding, and more.
Collaborate within a large and dynamic codebase building robust physical AI dataset search workflows.
Collaborate with research, model development, performance, and product teams.
Use agentic AI workflows across the full applied research lifecycle.
Contribute to NVIDIA Cosmos Dataset Search and other core NVIDIA platforms and products.
What we need to see:
MS or PhD in Computer Science, Computer Engineering or a related field (or equivalent experience).
8+ years of job experience in computer vision, video retrieval, machine learning, or equivalent experience.
Current with the latest research on image and video search in autonomous vehicles, healthcare, robotics, or related physical AI applications.
Fluent with agentic AI workflows across the full applied research lifecycle, including prototyping novel algorithms and search pipelines, benchmarking, and integrating prototypes in production codebases.
Excellent experience in training and optimizing models.
Excellent experience with PyTorch
Record of developing high quality Python code in large projects
Clear and effective communication skills, with experience working well in a dynamic, product- and research-focused team.
Strong track record publishing in top-tier conference such as CVPR, NeuRIPS, ICML, ECCV
Patents in video retrieval or related field
Strong coding architecture skills demonstrated through contributions to large internal or open-source projects.
Experience in robotic systems such as autonomous vehicles or humanoid robotics.
Come join us at NVIDIA and contribute to a team that is pushing the edges of what can be done in AI and computer vision. We’re looking for candidates who are innovative, ambitious, and ready to leave a lasting mark on the world!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearningNVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
